System and method for navigation to a target anatomical object in medical imaging-based procedures

a technology of anatomical objects and navigation systems, applied in the field of detection and identification of anatomical objects, can solve the problems of difficult for a medical professional to quickly and accurately locate the gross region of the target anatomical object, and the anatomical object detection using such systems is not always robust, so as to accelerate the execution time and reduce memory usag

Active Publication Date: 2020-05-19
AVENT INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The patent describes a system that uses deep learning to analyze medical images. The system uses a training dataset to teach the deep learning network how to recognize different parts of the image. The system then uses this knowledge to analyze new images and make accurate predictions. The system also uses compression methods to reduce memory usage and speed up execution time. Additionally, the system can adapt to different medical imaging systems with different settings and image quality. Overall, the system improves the accuracy and efficiency of analyzing medical images.

Problems solved by technology

However, anatomical object detection using such systems is not always robust, especially for some challenging detection problems in which the anatomical objects exhibit large variations in anatomy, shape, and / or appearance, as well as noise and artifacts in the medical images.
As a result, it is often difficult for a medical professional to quickly and accurately locate the gross region of the target anatomical object when using such imaging systems.
However, it can be challenging for a medical professional to quickly and accurately locate the gross region of the target nerve when using currently available imaging systems.
For example, for certain nerve block procedures, it is often difficult for a physician to quickly and accurately locate a target nerve bundle via an ultrasound imaging system.

Method used

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  • System and method for navigation to a target anatomical object in medical imaging-based procedures
  • System and method for navigation to a target anatomical object in medical imaging-based procedures
  • System and method for navigation to a target anatomical object in medical imaging-based procedures

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Embodiment Construction

[0047]Reference will now be made in detail to one or more embodiments of the invention, examples of the invention, examples of which are illustrated in the drawings. Each example and embodiment is provided by way of explanation of the invention, and is not meant as a limitation of the invention. For example, features illustrated or described as part of one embodiment may be used with another embodiment to yield still a further embodiment. It is intended that the invention include these and other modifications and variations as coming within the scope and spirit of the invention.

[0048]Generally, the present disclosure is directed to a system and method for providing navigational directions to a user (e.g., medical professional) to locate a target anatomical object during a medical procedure via a medical imaging system. The method includes selecting an anatomical region surrounding the object; generating a plurality of real-time two-dimensional images of scenes from the anatomical re...

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Abstract

The present invention is directed to a system and method for providing navigational directions to a user to locate a target anatomical object during a medical procedure via a medical imaging system. The method includes selecting an anatomical region surrounding the object; generating a plurality of real-time two-dimensional images of scenes from the anatomical region and providing the plurality of images to a controller; developing and training a deep learning network to automatically detect and identify the scenes from the anatomical region; automatically mapping each of the plurality of images from the anatomical region based on a relative spatial location and a relative temporal location of each of the identified scenes in the anatomical region via the deep learning network; and providing directions to the user to locate the object during the medical procedure based on the relative spatial and temporal locations of each of the identified scenes.

Description

CROSS REFERENCE TO RELATED APPLICATIONS[0001]The present application is the national stage entry of International Patent Application No. PCT / US2017 / 039928 having a filing date of Jun. 29, 2017, which claims priority to U.S. Provisional Application Ser. No. 62 / 429,150, having a filing date of Dec. 2, 2016, the entire contents of which are incorporated by reference.FIELD OF THE INVENTION[0002]The present invention relates to detection and identification of anatomical objects in the field of medical imaging, and more particularly, to a system and method for providing navigational directions to reach a target anatomical object in medical imaging-based procedures such as ultrasound-guided regional anesthesia based on the detection and identification of anatomical objects contained within a plurality of images taken of scenes from around the target anatomy.BACKGROUND[0003]Various imaging systems based on traditional approaches exist for assisting the medical professional in identifying th...

Claims

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Application Information

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Patent Type & AuthorityPatents(United States)
IPC IPC(8): G06T7/73A61B34/20G16H30/40
CPCA61B34/20G06T7/74A61B2034/2063G16H30/40G06T2207/20084G06T2207/10132G06T2207/30004A61B90/361A61B5/055A61B6/032A61B8/00G06N3/08A61B2034/2065A61B8/0841A61B8/085
InventorAVENDI, MICHAEL R.DUFFY, SHANE A.HSU, KENNETH C.
OwnerAVENT INC